- Specific people and groups with agendas that benefit from the status quo
- Collecting most of the talent in few companies with restricted research scope
- The lack of scientific rigor and critical thinking
- Specific people and groups with agendas that benefit from the status quo
- Collecting most of the talent in few companies with restricted research scope
- The lack of scientific rigor and critical thinking
The answer there would be NO.
Eg, current AI doesn't have guarantees of correctness as to assume that 20 pages of math manipulations will not include a mistake
The answer there would be NO.
Eg, current AI doesn't have guarantees of correctness as to assume that 20 pages of math manipulations will not include a mistake
Same for the lack of robust reasoning: it should be part of the architectural design and not be expected being consistently "discovered" during training
Same for the lack of robust reasoning: it should be part of the architectural design and not be expected being consistently "discovered" during training
Even if we could abstract real neurons with artificial ones, the essence of system's dynamics relies on the architecture, which is radically different in current ANNs compared to the brain
Even if we could abstract real neurons with artificial ones, the essence of system's dynamics relies on the architecture, which is radically different in current ANNs compared to the brain
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- GPT(4o, o1-mini, o1-preview): Impossible
- Gemini-1.5-Pro-002: 1. Nf3 Nf6 2. Ng1 Ng8 3. f4 e5 4. g4 h5# ???
- Claude:
- GPT(4o, o1-mini, o1-preview): Impossible
- Gemini-1.5-Pro-002: 1. Nf3 Nf6 2. Ng1 Ng8 3. f4 e5 4. g4 h5# ???
- Claude:
The challenge is that a single invalid transition (eg in theorem proving) renders the whole output invalid
The challenge is that a single invalid transition (eg in theorem proving) renders the whole output invalid
From my work on general reasoning agents I see two main required properties: accuracy and flexibility.
From my work on general reasoning agents I see two main required properties: accuracy and flexibility.
Highly autonomous and self learning AIs could be creative, discover new things and be just tools
Highly autonomous and self learning AIs could be creative, discover new things and be just tools